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neuralne
说明： MATLAB神经网络应用设计:书中实例源程序！
方便大家学习！(Application of MATLAB neural network design: example of source book! To facilitate learning!)
- 2009-08-13 11:04:33下载
- 积分：1
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Advanced--Function-Approximation
advanced function approximation
- 2013-12-17 19:17:06下载
- 积分：1
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sintesizer
Prototype Synthesizer Reconstruct one signal using FFT
- 2013-05-11 00:37:08下载
- 积分：1
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yibudianjizhijieqidong
异步机直接启动最基本的仿真模型，希望对大家有用(Asynchronous machine directly start the basic simulation model, we hope to be useful)
- 2014-02-27 15:31:58下载
- 积分：1
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PSO_kapur
PSO-Kapur based Image segmentation
- 2017-11-08 05:02:24下载
- 积分：1
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fastica
说明： 盲源分离，基于最大化负熵的盲源分离方法；
算法及调试(blind source separation)
- 2020-01-15 09:43:19下载
- 积分：1
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Applicationofmatlab
测量数据的处理包括数据分析X数理统计X数据的可视化
matlab在数据处理中的优势使其在测量数据处理中得以广泛应用(Measurement data, including data analysis of mathematical statistics X Visual X data in the data processing matlab advantage in its data processing in the measurement can be widely used in)
- 2009-05-08 18:52:32下载
- 积分：1
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De_Casteljau
说明： 运用de Casteljau递归求值法编写三角形域上的n次Bezier曲面计算程序，给定 控制顶点(de Casteljau using recursive method for the preparation of the triangle domain n Bezier surface calculation procedures for determining control vertices)
- 2006-03-31 20:35:11下载
- 积分：1
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1-stepwise-selection-criteria
X. Huo and X. S. Ni (2007). When do stepwise algorithms meet subset selection criteria aos07
- 2014-11-19 16:48:46下载
- 积分：1
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music(doa)
七单元天线阵MUSIC DOA估计：
d=1 ， 天线阵元的间距；
lma=2， 信号中心波长；
四输入信号；
A=[A1,A2,A3,A4]， 得出A矩；
四信号的频率d=[1.3*cos(v1*n)
1*sin(v2*n)
1*sin(v3*n)
1*sin(v4*n)]
构造输入信号矢量
U=A*d
总的输入信号
总输入信号的协方差矩阵
[s,h]=eig(c)
求协方差的特征矢量及特征值
取出与零特征值对应的特征矢量
求协方差矩阵的逆矩阵
应用Music法估计输出
绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)
- 2013-04-15 23:48:49下载
- 积分：1
